Questions
1.. Suppose $2000 is invested at 6% annual interest rate for 10 years and the interest...

1.. Suppose $2000 is invested at 6% annual interest rate for 10 years and the interest is compounded monthly. How much will the investment be worth at the end of the 10 years?

2. Suppose John invests his tax refund of $1666 in an account that earns interest compounded continuously at the rate of 3.5%. How much will John have in 7.5 years? Show your work details.

3. What is the present value of an account that will be worth $10,000 in 5 years if the annual interest rate is 10% and the interest is compounded continuously? Show your work details.

4.A company shows the following profit figures for the years 2000, 2004, and 2008. In 2000 the profit was $250 million; in 2004, the profit was $400 million; and, in 2008, the profit was $550 million. If x is the number of years after 2000, write a linear function representing this profit. Using this linear model determine what the projected profit will be in the year 2020. Show work details.

5. The table shows the year and the number of people unemployed in a particular city for several years. Determine whether the trend appears to be approximately linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 15 people?

Year                          1990 1992 1994 1996 1998 2000 2002 2004 2006 2008

Number Unemployed 750   670   650   605   550   510   460   420   380   320

6. Wilbur and Cody are selling pies for a school fundraiser. Customers can buy cherry pies and blackberry pies. Wilbur sold 8 cherry pies and 2 blackberry pies for a total of $110. Cody sold 7 cherry pies and 6 blackberry pies for a total of $177. What is the cost each of one cherry pie and one blackberry pie? Show work details.

In: Finance

Year Name MinPressure_before Gender_MF Category alldeaths 1950 Easy 958 1 3 2 1950 King 955 0...

Year    Name    MinPressure_before      Gender_MF       Category        alldeaths
1950    Easy    958     1       3       2
1950    King    955     0       3       4
1952    Able    985     0       1       3
1953    Barbara 987     1       1       1
1953    Florence        985     1       1       0
1954    Carol   960     1       3       60
1954    Edna    954     1       3       20
1954    Hazel   938     1       4       20
1955    Connie  962     1       3       0
1955    Diane   987     1       1       200
1955    Ione    960     0       3       7
1956    Flossy  975     1       2       15
1958    Helene  946     1       3       1
1959    Debra   984     1       1       0
1959    Gracie  950     1       3       22
1960    Donna   930     1       4       50
1960    Ethel   981     1       1       0
1961    Carla   931     1       4       46
1963    Cindy   996     1       1       3
1964    Cleo    968     1       2       3
1964    Dora    966     1       2       5
1964    Hilda   950     1       3       37
1964    Isbell  974     1       2       3
1965    Betsy   948     1       3       75
1966    Alma    982     1       2       6
1966    Inez    983     1       1       3
1967    Beulah  950     1       3       15
1968    Gladys  977     1       2       3
1969    Camille 909     1       5       256
1970    Celia   945     1       3       22
1971    Edith   978     1       2       0
1971    Fern    979     1       1       2
1971    Ginger  995     1       1       0
1972    Agnes   980     1       1       117
1974    Carmen  952     1       3       1
1975    Eloise  955     1       3       21
1976    Belle   980     1       1       5
1977    Babe    995     1       1       0
1979    Bob     986     0       1       1
1979    David   970     0       2       15
1979    Frederic        946     0       3       5
1980    Allen   945     0       3       2
1983    Alicia  962     1       3       21
1984    Diana   949     1       2       3
1985    Bob     1002    0       1       0
1985    Danny   987     0       1       1
1985    Elena   959     1       3       4
1985    Gloria  942     1       3       8
1985    Juan    971     0       1       12
1985    Kate    967     1       2       5
1986    Bonnie  990     1       1       3
1986    Charley 990     0       1       5
1987    Floyd   993     0       1       0
1988    Florence        984     1       1       1
1989    Chantal 986     1       1       13
1989    Hugo    934     0       4       21
1989    Jerry   983     0       1       3
1991    Bob     962     0       2       15
1992    Andrew  922     0       5       62
1993    Emily   960     1       3       3
1995    Erin    973     1       2       6
1995    Opal    942     1       3       9
1996    Bertha  974     1       2       8
1996    Fran    954     1       3       26
1997    Danny   984     0       1       10
1998    Bonnie  964     1       2       3
1998    Earl    987     0       1       3
1998    Georges 964     0       2       1
1999    Bret    951     0       3       0
1999    Floyd   956     0       2       56
1999    Irene   987     1       1       8
2002    Lili    963     1       1       2
2003    Claudette       979     1       1       3
2003    Isabel  957     1       2       51
2004    Alex    972     0       1       1
2004    Charley 941     0       4       10
2004    Frances 960     1       2       7
2004    Gaston  985     0       1       8
2004    Ivan    946     0       3       25
2004    Jeanne  950     1       3       5
2005    Cindy   991     1       1       1
2005    Dennis  946     0       3       15
2005    Ophelia 982     1       1       1
2005    Rita    937     1       3       62
2005    Wilma   950     1       3       5
2005    Katrina 902     1       3       1833
2007    Humberto        985     0       1       1
2008    Dolly   963     1       1       1
2008    Gustav  951     0       2       52
2008    Ike     935     0       2       84
2011    Irene   952     1       1       41
2012    Isaac   965     0       1       5
2012    Sandy   945     1       2       159
                                        

Open Hurricane data.

SETUP: Is it reasonable to assume that average hurricane pressure for category 4 is different from that of category 1? Given the data, your job is to check if this assertion is indeed reasonable or not. HINT: Read Lecture 24.

19. What would be the correct Null-Hypothesis?

  • a. Data related to two different categories should not be related.
  • b. The population averages are equal.
  • c. The slope of the regression line is equal to zero.
  • d. None of these.

20. The P-value is 3.33E-09. What can be statistically concluded?

  • a. We reject the Null Hypothesis.
  • b. We accept the Null Hypothesis.
  • c. We cannot reject the Null Hypothesis.
  • d. None of these.

21. Write a one-line additional comment.

  • a. We cannot conclude that data related to two different hurricane categories are related.
  • b. We are confident that hurricanes with category 4 has different pressure than those of category 1.
  • c. We cannot conclude that hurricanes with category 4 has lower pressure than those of category 1.
  • d. None of these.

In: Statistics and Probability

Year Name MinPressure_before Gender_MF Category alldeaths 1950 Easy 958 1 3 2 1950 King 955 0...

Year    Name    MinPressure_before      Gender_MF       Category        alldeaths
1950    Easy    958     1       3       2
1950    King    955     0       3       4
1952    Able    985     0       1       3
1953    Barbara 987     1       1       1
1953    Florence        985     1       1       0
1954    Carol   960     1       3       60
1954    Edna    954     1       3       20
1954    Hazel   938     1       4       20
1955    Connie  962     1       3       0
1955    Diane   987     1       1       200
1955    Ione    960     0       3       7
1956    Flossy  975     1       2       15
1958    Helene  946     1       3       1
1959    Debra   984     1       1       0
1959    Gracie  950     1       3       22
1960    Donna   930     1       4       50
1960    Ethel   981     1       1       0
1961    Carla   931     1       4       46
1963    Cindy   996     1       1       3
1964    Cleo    968     1       2       3
1964    Dora    966     1       2       5
1964    Hilda   950     1       3       37
1964    Isbell  974     1       2       3
1965    Betsy   948     1       3       75
1966    Alma    982     1       2       6
1966    Inez    983     1       1       3
1967    Beulah  950     1       3       15
1968    Gladys  977     1       2       3
1969    Camille 909     1       5       256
1970    Celia   945     1       3       22
1971    Edith   978     1       2       0
1971    Fern    979     1       1       2
1971    Ginger  995     1       1       0
1972    Agnes   980     1       1       117
1974    Carmen  952     1       3       1
1975    Eloise  955     1       3       21
1976    Belle   980     1       1       5
1977    Babe    995     1       1       0
1979    Bob     986     0       1       1
1979    David   970     0       2       15
1979    Frederic        946     0       3       5
1980    Allen   945     0       3       2
1983    Alicia  962     1       3       21
1984    Diana   949     1       2       3
1985    Bob     1002    0       1       0
1985    Danny   987     0       1       1
1985    Elena   959     1       3       4
1985    Gloria  942     1       3       8
1985    Juan    971     0       1       12
1985    Kate    967     1       2       5
1986    Bonnie  990     1       1       3
1986    Charley 990     0       1       5
1987    Floyd   993     0       1       0
1988    Florence        984     1       1       1
1989    Chantal 986     1       1       13
1989    Hugo    934     0       4       21
1989    Jerry   983     0       1       3
1991    Bob     962     0       2       15
1992    Andrew  922     0       5       62
1993    Emily   960     1       3       3
1995    Erin    973     1       2       6
1995    Opal    942     1       3       9
1996    Bertha  974     1       2       8
1996    Fran    954     1       3       26
1997    Danny   984     0       1       10
1998    Bonnie  964     1       2       3
1998    Earl    987     0       1       3
1998    Georges 964     0       2       1
1999    Bret    951     0       3       0
1999    Floyd   956     0       2       56
1999    Irene   987     1       1       8
2002    Lili    963     1       1       2
2003    Claudette       979     1       1       3
2003    Isabel  957     1       2       51
2004    Alex    972     0       1       1
2004    Charley 941     0       4       10
2004    Frances 960     1       2       7
2004    Gaston  985     0       1       8
2004    Ivan    946     0       3       25
2004    Jeanne  950     1       3       5
2005    Cindy   991     1       1       1
2005    Dennis  946     0       3       15
2005    Ophelia 982     1       1       1
2005    Rita    937     1       3       62
2005    Wilma   950     1       3       5
2005    Katrina 902     1       3       1833
2007    Humberto        985     0       1       1
2008    Dolly   963     1       1       1
2008    Gustav  951     0       2       52
2008    Ike     935     0       2       84
2011    Irene   952     1       1       41
2012    Isaac   965     0       1       5
2012    Sandy   945     1       2       159
Test if there is a significant difference in the death by Hurricanes and Min Pressure measured. Answer the questions for Assessment. (Pick the closest answer)

7. What is the P-value?

  • a. #DIV/0!
  • b. 0.384808843
  • c. 0.634755682
  • d. None of these

8. What is the Statistical interpretation?

  • a. The P-value is too large to have a conclusive answer.
  • b. The P-value is too small to have a conclusive answer.
  • c. ​​The P-value is much smaller than 5% thus we are certain that the average of hurricane deaths is significantly different from average min pressure.
  • d. None of the above.

9. What is the conclusion?

  • a. The statistics does not agree with the intuition since one would expect that stronger hurricanes to be deadlier.
  • b. ​​Statistical interpretation agrees with the intuition, the lower the pressure the stronger the hurricanes.
  • c. Statistics confirms that hurricanes’ pressure does relate to the death count.
  • d. The test does not make statistical sense, it compares “apples and oranges”.

In: Statistics and Probability

The deliverable for this assignment is a written report. You must address the following questions in...

The deliverable for this assignment is a written report. You must address the following questions in your analysis. Question 1: What prompted the pricing change in the case of Netflix and the debit card fee in the case of BoA? What explanation did the companies offer their customers? Do additional research as required to answer these questions. Question 2: What explains customers’ reactions to the pricing plan change announced by Netflix and the fee proposal announced by BoA? Include in your discussion what role elasticity may have played. Identify the determinant of elasticity most applicable to the explanation you have provided. Question 3: How do you explain why Netflix and Bank of America reacted differently to essentially similar customer responses? Include in your discussion what role a consideration of elasticity may have played in the company decisions. Do additional reading and research as required. Identify the determinant of elasticity most applicable to the explanation you have provided. Question 4: How long did it take for Netflix to recover lost ground in terms of its subscriber base? Which determinant of elasticity is most applicable to your answer for this question? What did Netflix do to bring about this turnaround? This "compare & contrast" case study is based on two real-world examples of pricing strategy dating back to 2011. The expectation is that you will apply your understanding of elasticity of demand to explain the contrasting final decisions. A reading list is provided for your reference. 1. The Case of Netflix Netflix, the popular online movie rental company, was founded in 1997 by Reed Hastings and Marc Randolph. In 1998, the Netflix.com website was launched; it was the first online DVD rental and sales site. The dominant brick-and-mortar DVD rental company at the time was Blockbuster. In 1999, Netflix debuted its subscription service, allowing subscribers to rent DVDs for monthly subscription fees. Netflix went public on May 23, 2002, listing on NASDAQ with an initial offer price of $15 per share and raising $77.2 million. Between October 2002 and January 2004, the stock price had appreciated by more than 1,500%. The company did a 2-for-1 stock split in February 2004 when the price reached $80 (Caplinger, 2016). At the time of its IPO in 2002, Netflix had about 600,000 subscribers. In 2007, it introduced online streaming, allowing subscribers to instantly watch TV shows and movies on their laptops or computers. Between 2007 and 2011, the number of subscribers in the U.S. grew from 7.48 million to 23.53 million (Dunn, 2017). On July 11, 2011, the stock closed at $41.53 (price adjusted for dividends). The Misstep: On July 12, 2011, Netflix split up its existing one DVD at a time + unlimited streaming plan for $9.99 into 3 separate plans: (1) DVD only starting at $7.99, (2) streaming only for $7.99, and (3) DVD + streaming for $15.98 (Gilbert, 2012). The rate hike caused a loss of subscriber base from 24.8 million subscribers in end-June to 23.8 million subscribers in end-September (Pepitone, 2011). By July 29, the stock price had dropped to $37.99, a drop of 8.5% from July 11. By November 25, it had tumbled to $9.12, a plunge of almost 78% since the day of the announcement (closing prices from NASDAQ). The Final Decision: Despite subscribers and investors voting with their feet, the company defended its decision – albeit apologetically - and implemented the new pricing plans. 2. The Case of Bank of America (BoA) Bank of America was established in 1904 as Bank of America National Trust and Savings Association. The Bank of America (BoA) entity was formed in 1998 as a merger between the erstwhile BankAmerica Corporation and NationsBank. From checking and savings accounts to debit cards, credit cards, loans, and asset management, BoA provides a range of services for both households and businesses. In the words of CEO Brian Moynihan, "Bank of America has been helping connect people to what is most important to them for more than 200 years." (Bank of America website). In 2010, the bank had $916.11 billion in deposits. At 12% of market share, this ranked BoA number one in terms of deposits. It was followed closely by JP Morgan Chase and Wells Fargo, each of which had about 10% market share (Comoreanu, 2017). BoA stock is listed on the NYSE. On April 1, 1998, the stock closed at $38 (price adjusted for dividends). On September 1, 2008, the stock closed at $35. The bank suffered losses during the financial crisis; monthly stock price data reveal a low of $3.95 on February 1, 2009. After recovering to $17.83 by March 1, 2010, the stock price started declining again. The downtrend continued in 2011, with a drop of almost 19 per cent between March 1 and June 1 (from $13.93 to $11.24), and another 29 per cent to $7.91 by September 1, 2011. The Misstep: On September 29, 2011, Bank of America announced that, beginning in early 2012, it would start charging its customers $5 a month for using their debit cards (Rauch, 2011). The announcement was met with angry outrage by customers on social media. Reflecting the negative sentiment, stock price declined 7 per cent in the week following the announcement, from $6.35 on September 29 to $5.90 on October 6. It had recovered about 8 per cent to $6.83 on October 31, 2011; it may be noted that this price was still almost 14 per cent lower compared to the price on September 1. The Final Decision: Following the tremendous backlash from its card holders, BoA abandoned its plans. On November 1, 2011, it announced that it would not implement the debit card usage fee (Bernard, 2011).

In: Economics

Open Hurricanes data. Test if there is a significant difference in the death by Hurricanes and...

Open Hurricanes data.

Test if there is a significant difference in the death by Hurricanes and Min Pressure measured. Answer the questions for Assessment. (Pick the closest answer)

7. What is the P-value?

  • a. #DIV/0!
  • b. 0.384808843
  • c. 0.634755682
  • d. None of these

8. What is the Statistical interpretation?

  • a. The P-value is too large to have a conclusive answer.
  • b. The P-value is too small to have a conclusive answer.
  • c. ​​The P-value is much smaller than 5% thus we are certain that the average of hurricane deaths is significantly different from average min pressure.
  • d. None of the above.

9. What is the conclusion?

  • a. The statistics does not agree with the intuition since one would expect that stronger hurricanes to be deadlier.
  • b. ​​Statistical interpretation agrees with the intuition, the lower the pressure the stronger the hurricanes.
  • c. Statistics confirms that hurricanes’ pressure does relate to the death count.
  • d. The test does not make statistical sense, it compares “apples and oranges”.

Year   Name   MinPressure_before   Gender_MF   Category   alldeaths
1950   Easy   958   1   3   2
1950   King   955   0   3   4
1952   Able   985   0   1   3
1953   Barbara   987   1   1   1
1953   Florence   985   1   1   0
1954   Carol   960   1   3   60
1954   Edna   954   1   3   20
1954   Hazel   938   1   4   20
1955   Connie   962   1   3   0
1955   Diane   987   1   1   200
1955   Ione   960   0   3   7
1956   Flossy   975   1   2   15
1958   Helene   946   1   3   1
1959   Debra   984   1   1   0
1959   Gracie   950   1   3   22
1960   Donna   930   1   4   50
1960   Ethel   981   1   1   0
1961   Carla   931   1   4   46
1963   Cindy   996   1   1   3
1964   Cleo   968   1   2   3
1964   Dora   966   1   2   5
1964   Hilda   950   1   3   37
1964   Isbell   974   1   2   3
1965   Betsy   948   1   3   75
1966   Alma   982   1   2   6
1966   Inez   983   1   1   3
1967   Beulah   950   1   3   15
1968   Gladys   977   1   2   3
1969   Camille   909   1   5   256
1970   Celia   945   1   3   22
1971   Edith   978   1   2   0
1971   Fern   979   1   1   2
1971   Ginger   995   1   1   0
1972   Agnes   980   1   1   117
1974   Carmen   952   1   3   1
1975   Eloise   955   1   3   21
1976   Belle   980   1   1   5
1977   Babe   995   1   1   0
1979   Bob   986   0   1   1
1979   David   970   0   2   15
1979   Frederic   946   0   3   5
1980   Allen   945   0   3   2
1983   Alicia   962   1   3   21
1984   Diana   949   1   2   3
1985   Bob   1002   0   1   0
1985   Danny   987   0   1   1
1985   Elena   959   1   3   4
1985   Gloria   942   1   3   8
1985   Juan   971   0   1   12
1985   Kate   967   1   2   5
1986   Bonnie   990   1   1   3
1986   Charley   990   0   1   5
1987   Floyd   993   0   1   0
1988   Florence   984   1   1   1
1989   Chantal   986   1   1   13
1989   Hugo   934   0   4   21
1989   Jerry   983   0   1   3
1991   Bob   962   0   2   15
1992   Andrew   922   0   5   62
1993   Emily   960   1   3   3
1995   Erin   973   1   2   6
1995   Opal   942   1   3   9
1996   Bertha   974   1   2   8
1996   Fran   954   1   3   26
1997   Danny   984   0   1   10
1998   Bonnie   964   1   2   3
1998   Earl   987   0   1   3
1998   Georges   964   0   2   1
1999   Bret   951   0   3   0
1999   Floyd   956   0   2   56
1999   Irene   987   1   1   8
2002   Lili   963   1   1   2
2003   Claudette   979   1   1   3
2003   Isabel   957   1   2   51
2004   Alex   972   0   1   1
2004   Charley   941   0   4   10
2004   Frances   960   1   2   7
2004   Gaston   985   0   1   8
2004   Ivan   946   0   3   25
2004   Jeanne   950   1   3   5
2005   Cindy   991   1   1   1
2005   Dennis   946   0   3   15
2005   Ophelia   982   1   1   1
2005   Rita   937   1   3   62
2005   Wilma   950   1   3   5
2005   Katrina   902   1   3   1833
2007   Humberto   985   0   1   1
2008   Dolly   963   1   1   1
2008   Gustav   951   0   2   52
2008   Ike   935   0   2   84
2011   Irene   952   1   1   41
2012   Isaac   965   0   1   5
2012   Sandy   945   1   2   159
                  

In: Statistics and Probability

Adjusting entries. You have been retained to examine the records of Kathy’s Day Care Center as...

Adjusting entries. You have been retained to examine the records of Kathy’s Day Care Center as of December 31, 20X3, the close of the current reporting period. In the course of your examination, you discover the following: On January 1, 20X3, the Supplies account had a balance of $2,350. During the year, $5,520 worth of supplies was purchased, and a balance of $1,620 remained unused on December 31. Unrecorded interest owed to the center totaled $275 as of December 31. All clients pay tuition in advance, and their payments are credited to the Unearned Tuition Revenue account. The account was credited for $75,500 on August 31. With the exception of $15,500, which represented prepayments for 10 months’ tuition from several well-to-do families, all amounts were for the current semester ending on December 31. Depreciation on the school’s van was $3,000 for the year. On August 1, the center began to pay rent in 6-month installments of $21,000. Kathy wrote a check to the owner of the building and recorded the check in Pre- paid Rent, a new account. Two salaried employees earn $400 each for a 5-day week. The employees are paid every Friday, and December 31 falls on a Thursda Kathy’s Day Care paid insurance premiums as follows, each time debiting Pre- paid Insurance:

Date Paid

Policy No.

Length of Policy

Amount

Feb. 1, 20X2

1033MCM19

1 year

$540

Jan. 1, 20X3

7952789HP

1 year

912

Aug. 1, 20X3

XQ943675ST

2 years

840

Instructions - The center’s accounts were last adjusted on December 31, 20X2. Prepare the adjusting entries necessary under the accrual basis of accounting in the below general journal.

GENERAL JOURNAL – KATHY’S DAY CARE CENTER

Date

Account titles & Explanation

Debit

Credit

Dec. 31

To record supplies used

Supplies Expense

Supplies

Dec. 31

To record accrued interest

Interest Receivable

Interest Revenue

Dec. 31

To record tuition revenue earned

Unearned Tuition Revenue

Tuition Revenue

Dec. 31

To record depreciation expense

Depreciation expense

Accumulated Depreciation: Van

Dec. 31

To record expiration of prepaid rent

Rent expense

Prepaid Rent

Dec. 31

To record accrued salaries

Salaries Expense

Salaries Payable

Dec. 31

To record expired insurance

Insurance expense

Prepaid Insurance

In: Accounting

Washington County’s Board of Representatives is considering the construction of a longer runway at the county...

Washington County’s Board of Representatives is considering the construction of a longer runway at the county airport. Currently, the airport can handle only private aircraft and small commuter jets. A new, long runway would enable the airport to handle the midsize jets used on many domestic flights. Data pertinent to the board’s decision appear below.

Cost of acquiring additional land for runway $ 63,000

Cost of runway construction 305,000

Cost of extending perimeter fence 19,880

Cost of runway lights 32,000

Annual cost of maintaining new runway 16,000

Annual incremental revenue from landing fees 25,000

In addition to the preceding data, two other facts are relevant to the decision. First, a longer runway will require a new snowplow, which will cost $115,000. The old snowplow could be sold now for $11,500. The new, larger plow will cost $7,000 more in annual operating costs. Second, the County Board of Representatives believes that the proposed long runway, and the major jet service it will bring to the county, will increase economic activity in the community. The board projects that the increased economic activity will result in $76,000 per year in additional tax revenue for the county. In analyzing the runway proposal, the board has decided to use a 10-year time horizon. The county’s hurdle rate for capital projects is 12 percent. Use Appendix A for your reference. (Use appropriate factor(s) from the tables provided.) Problem 16-47 Internal Rate of Return; Sensitivity Analysis (Section 1) (LO 16-1, 16-3) In analyzing the runway proposal, the board has decided to use a 10-year time horizon. The county’s hurdle rate for capital projects is 12 percent. The County Board of Representatives believes that if the county conducts a promotional effort costing $30,500 per year, the proposed long runway will result in substantially greater economic development than was projected originally. However, the board is uncertain about the actual increase in county tax revenue that will result. Required: Suppose the board builds the long runway and conducts the promotional campaign. What would the increase in the county’s annual tax revenue need to be in order for the proposed runway’s internal rate of return to equal the county’s hurdle rate of 12 percent? (Round your intermediate calculations and final answer to the nearest whole dollar.)

How do you figure out the required increase in tax revenue?

In: Accounting

QUESTION ONE (20 MARKS) You have been provided with the end of year, unadjusted trial balance...

QUESTION ONE

You have been provided with the end of year, unadjusted trial balance for Tina’s Managerial Advice business and the balance day adjustments to be implemented. Tina commenced business on 1st July 2018.

Required:

1.         Provide the General Journal entries for the:                               

i)         Balance day adjustments on the 31st October 2018;

ii)        Reversing entries where required on 1st November 2018.

(9 Marks)

            2.         Provide an Income Statement for the period ending 31st October 2018.                                                                                                                                

3.         Provide a fully classified Balance Sheet showing.                     

4.         Explain the role of the Prepaid Contents Insurance and the Unearned Advice Commissions Revenue accounts in this business.        (2 Marks)

TINA’S MANAGERIAL ADVICE SERVICE

UNADJUSTED TRIAL BALANCE AS AT 31st OCTOBER 2018

ACCOUNT                                                                           DEBIT $     CREDIT $

Cash at bank                                                                         25,440

Accounts Receivable                                                           91,000

Allowance for Doubtful Debts                                                                    2,000

Office Supplies Inventory                                                        300

Prepaid Contents Insurance                                               4,800

Prepaid Rent of offices                                                        12,000

Photocopier (Purchased 1st July 2017)                              60,000

Accounts Payable                                                                                        32,000

Unearned Advice Services Revenue                                                          3,340

VAT Collected (20%)                                                                                   22,068

VAT Paid (20%)                                                                   2,287

Loan from WES Bank Ltd (due 30th June 2025)                                      80,000

Capital – Tina Tobin                                                                                   36,219

Drawings – Tina Tobin                                                       10,000

Advice Service Revenue                                                                            134,000

Electricity – Office                                                                  3,100

Discount Expense                                                                      300           

Advice staff bonus                                                                  6,800           

Advice staff wages                                                              78,200

Office Staff wages                                                                15,400

           

TOTAL                                                                                $309,627          $309,627

QUESTION ONE CONTINUED

Additional Information

  • The 12-month Content Insurance policy was paid on 1st July 2018.

  • An Accounts Receivable of $1,000 is uncollectible and is to be written off. The policy is to have the Allowance for Doubtful Debts equal to 1% of net Advice Service Revenue.

  • The Photocopier is to be depreciated using a unit method; it is anticipated that the photocopier will be kept till it has produced 2,000,000 copies and then be traded in for $10,000. As at 30th October 2018 it had produced 80,000 copies.

  • $1,340 of the Unearned Advice Services Revenue had been earned, but not recorded on 29th October 2018.

  • Advice Staff Wages amounting to $2,600 had been incurred but not yet paid as at 31st October 2018.

  • Office Supplies on hand as at 31st October were valued at $170.

  • $4000 of the Prepaid Rent of Showroom figure relates to the month of November 2018.

In: Accounting

The unadjusted trial balance of the Dairy Plus Company as of December 31, 2017 is found...

The unadjusted trial balance of the Dairy Plus Company as of December 31, 2017 is found on the trial balance tab. The following information is required to prepare the necessary adjusting entries for the Dairy Plus Company.

1) The balance in Prepaid insurance represents a 24-month policy that went into effect on December 1, 2017. Review the unadjusted balance in Prepaid insurance, and prepare the necessary adjusting entry, if any.

2) Based on a physical count, supplies on hand total $4,050. Review the unadjusted balance in Supplies, and prepare the necessary adjusting entry, if any.

3) The equipment is expected to have a 4-year useful life, and be worth about $10,000 at the end of four years. Review the unadjusted balance in Accumulated depreciation, and prepare the necessary adjusting entry to record the monthly depreciation, if any.

4) On December 26, the client paid a $13,800 60-day fee in advance, covering December 27 to February 24. Review the unadjusted balance in Unearned Consulting Revenue, and prepare the necessary adjusting entry, if any.

5) Dairy Plus's employee earns $120 per day for a five-day workweek beginning on Monday and ending on Friday. The employee was last paid on Friday, December 26. Review the unadjusted balance in Salaries expense, and prepare the necessary adjusting entry, if any.

6) In the second week of December, Dairy Plus agreed to provide 30 days of consulting services to a local fitness club for a fixed fee of $5,820. The terms of the initial agreement call for Dairy Plus to provide services from December 12, 2017, through January 10, 2018, or 30 days of service. The club agrees to pay Dairy Plus $5,820 on January 10, 2018, when the service period is complete. Review the unadjusted balance in Consulting revenue, and prepare the necessary adjusting entry, if any.

Unadjusted

Dairy Plus
Trial Balance
December 31, 2017
Account Title Debit Credit
Cash 28,075
Supplies 5,400
Prepaid insurance 6,600
Equipment 24,400
Accounts payable 10,200
Unearned consulting revenue 13,800
R. Richards, Capital 38,000
R. Richards, Withdrawals 1,300
Consulting revenue 7,300
Rental revenue 800
Salaries expense 2,040
Rent expense 1,900
Utilities expense 385
Total 70,100

70,100

I want the general journal answers.

In: Accounting

The unadjusted trial balance of the Home Perfection Company as of December 31, 2017 is found...

The unadjusted trial balance of the Home Perfection Company as of December 31, 2017 is found on the trial balance tab. The following information is required to prepare the necessary adjusting entries for the Home Perfection Company.

  • 1) The balance in Prepaid insurance represents a 24-month policy that went into effect on December 1, 2017. Review the unadjusted balance in Prepaid insurance, and prepare the necessary adjusting entry, if any.

  • 2) Based on a physical count, supplies on hand total $4,500. Review the unadjusted balance in Supplies, and prepare the necessary adjusting entry, if any.

  • 3) The equipment is expected to have a 4-year useful life, and be worth about $9,000 at the end of four years. Review the unadjusted balance in Accumulated depreciation, and prepare the necessary adjusting entry to record the monthly depreciation, if any.

  • 4) On December 26, the client paid a $8,400 60-day fee in advance, covering December 27 to February 24. Review the unadjusted balance in Unearned Consulting Revenue, and prepare the necessary adjusting entry, if any.

  • 5) Home Perfection's employee earns $150 per day for a five-day workweek beginning on Monday and ending on Friday. The employee was last paid on Friday, December 26. Review the unadjusted balance in Salaries expense, and prepare the necessary adjusting entry, if any.

  • 6) In the second week of December, Home Perfection agreed to provide 30 days of consulting services to a local fitness club for a fixed fee of $3,660. The terms of the initial agreement call for Home Perfection to provide services from December 12, 2017, through January 10, 2018, or 30 days of service. The club agrees to pay Home Perfection $3,660 on January 10, 2018, when the service period is complete. Review the unadjusted balance in Consulting revenue, and prepare the necessary adjusting entry, if any.

Home Perfection
Trial Balance
December 31, 2017
Account Title Debit Credit
Cash 16,485
Supplies 4,500
Prepaid insurance 7,700
Equipment 30,600
Accumulated depreciation - Equipment 500
Accounts payable 6,200
Salaries payable 450
Unearned consulting revenue 7,700
C. Fields, Capital 44,000
C. Fields, Withdrawals 800
Consulting revenue 8,900
Rental revenue 400
Depreciation expense - Equipment 500
Salaries expense 3,000
Insurance expense 700
Rent expense 2,050
Supplies expense 1,500
Utilities expense 315
Total 68,150 68,150

In: Accounting